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Membrane fatty acid composition of rat skeletal muscle is most responsive to the balance of dietary n-3 and n-6 PUFA

Published online by Cambridge University Press:  13 October 2009

Sarah K. Abbott*
Affiliation:
Metabolic Research Centre, University of Wollongong, Wollongong, NSW2522, Australia School of Biological Sciences, University of Wollongong, Northfields Avenue, Wollongong, NSW2522, Australia
Paul L. Else
Affiliation:
Metabolic Research Centre, University of Wollongong, Wollongong, NSW2522, Australia School of Health Sciences, University of Wollongong, Wollongong, NSW2522, Australia
A. J. Hulbert
Affiliation:
Metabolic Research Centre, University of Wollongong, Wollongong, NSW2522, Australia School of Biological Sciences, University of Wollongong, Northfields Avenue, Wollongong, NSW2522, Australia
*
*Corresponding author: Sarah K. Abbott, fax +61 2 4221 4135, email ska454@uow.edu.au
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Abstract

The present study quantifies the relationships between diet fatty acid profile and fatty acid composition of rat skeletal muscle phospholipids. Young adult male Sprague–Dawley rats were fed, for 8 weeks, on one of twelve moderate-fat diets (25 % of total energy) differing only in fatty acid profile. SFA content ranged from 8–88 % of total fatty acids, MUFA 6–65 %, total PUFA 4–81 %, n-6 PUFA 3–70 % and n-3 PUFA 1–70 %. Diet PUFA included only essential fatty acids 18 : 2n-6 and 18 : 3n-3. The balance between n-3 and n-6 PUFA (PUFA balance) in the diet ranged from 1 : 99 to 86 : 14 % n-3 PUFA:n-6 PUFA. The slope of muscle phospholipid composition plotted against diet composition quantifies the response of muscle membrane composition to dietary fat (0, no response; 1, complete conformity with diet). The resulting slopes were 0·02 (SFA), 0·10 (PUFA), 0·11 (MUFA), 0·14 (n-3 PUFA) and 0·23 (n-6 PUFA). The response to PUFA balance was biphasic with a slope of 0·98 below 10 % diet PUFA balance and 0·16 above 10 %. Thus, low diet PUFA balance has greater influence on muscle composition than 18-carbon n-3 or n-6 PUFA individually. Equations provided may allow prediction of muscle composition for other diet studies. Diet PUFA balance dramatically affects muscle 20 : 4n-6 and 22 : 6n-3. This may have significant implications for some disease states in human subjects.

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Full Papers
Copyright
Copyright © The Authors 2009
Figure 0

Table 1 Composition of experimental diets(see text for details)

Figure 1

Table 2 Fatty acid composition (percentage of total fatty acid) of experimental and initial diets(Mean values with their standard errors, n 2)

Figure 2

Table 3 Fatty acid composition (percentage of total fatty acid) of skeletal muscle phospholipids from rats fed experimental and initial diets(Mean values with their standard errors, n 6)

Figure 3

Fig. 1 Fatty acid profile from rat muscle phospholipids relative to fatty acid profile of diet. (a) SFA content; MUFA content; total PUFA content. (b) Relationship of PUFA balance (n-3 PUFA as percentage of total PUFA) of rat muscle skeletal phospholipids with diet PUFA balance (two mathematical relationships applied to the data points). In each graph, represents value for initial rats, while △, ○, ⋄ represent data from experimental diets. Error bars show means with their standard errors, and if they are not visible they are smaller than symbol. The dotted line in each graph indicates line of perfect diet–membrane conformity. See Table 4 for regression equations and statistical values.

Figure 4

Table 4 Results for all linear regression analyses including relationships plotted in Figs. 1–2 and additional relationships (graphs not shown)

Figure 5

Fig. 2 Relationship between 20 : 4n-6 and 22 : 6n-3 content of rat muscle phospholipids and the amount of the respective 18-carbon precursor fatty acid in the diet (graphs (a) and (c); 18 : 2n-6 and 18 : 3n-3 content, respectively) and diet PUFA balance (graphs (b) and (d), respectively). In each graph, represents value for initial rats (not used to determine line of best fit), while ○ represent data from experimental diets. Error bars show means with their standard errors, and if they are not visible they are smaller than symbol. See Table 4 for regression equations and statistical values.